This paper presents a general learning framework for non-rigid registration of MR brain images. Given a set of training MR brain images, three major types of information are partic...
Following the phenomenological approach of gestaltists, sparse monocular depth cues such as T- and X-junctions and the local convexity are crucial to identify the shape and depth ...
Sensor localization in wireless sensor networks is an important component of many applications. Previous work has demonstrated how localization can be achieved using various metho...
A tractor-trailer robot consists of a carlike tractor towing a passive trailer. Due to its highly nonholonomic nature, the kinematics of this type of robot are complicated and di ...
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....